code: def test_exponential_func_multi_class_batch():
      supports_correct = np.array([0.33, 0.0, 1.0])
      expected = [-0.01, -1.0, 1.0]
      n_classes = 3
      result = exponential_func(n_classes, supports_correct)
      assert np.allclose(result, expected, atol=0.01)
  
file_path: DESlib/deslib/tests/util/test_prob_functions.py
imports: import numpy
  import pytest
  from deslib.util.prob_functions import ccprmod, log_func, min_difference, softmax, exponential_func, entropy_func
label_desc: Use image node_id 11 for calling a global function with example usage: test_exponential_func_multi_class_batch() without return types